BufAMPdb

Buffalo, one of the most important farm animals, lives in hot and humid regions where climatic conditions are favorable for prevalence of infectious diseases, still there is a less occurrence of diseases along with lesser deleterious effect of diseases on buffalo which indicates their stronger innate immunity to fight against infection. Buffaloes are found to express many AMPs such as defensins, cathelicidins, and hepcidin which play an important role in neutralizing the invading pathogens. This study provides a faster, improved and species-specific AMP and non-AMP candidate prediction server BufAMPpred, based on an ensemble of CNN+LSTM deep learning neural network architecture with improved prediction accuracy (98.72% accuracy with 99.79% sensitively and 98.68% specificity) in comparison to existing tools/servers till date (the maximum reported accuracy of 97.4% by Dua et al., 2020). This server also facilitates to analyse up to 500 sequences at a time and also linked with BufAMPdb which provides collection of all candidate AMPs (61711) and non-AMPs (2529971) predicted for buffalo along with their corresponding gene information.